In this paper, a new approach for leak detection in water networks is proposed which considers
an extended time horizon analysis of pressure sensitivities. Previous works based on pressure sensitivities
analysis were developed by considering time instant evaluation. This fact makes them very sensitive to
demand changes and noise in measurements. The proposed approach has been combined with five
detection methods: the first is the binarization method, the second, third and fourth are based on the
comparison of measured pressure vectors with leak sensitivity matrix using methods of correlation, vector
angle and Euclidean distance respectively. And, finally, the fifth is based on the least square optimization
method. Another contribution of this paper is the performance comparison between the five detection
methods in presence of single leaks in scenarios with noise in measurements and nodal demands. Results
showed that in most of the methods effectiveness is high, being the best the vector angle method, with
effectiveness higher than 96%. The correlation and optimization method had similar behaviors with
effectiveness superior to 90%. Finally, the binarization method is effective only in some scenarios but in
presence of noise has a poor performance.